Ming Wei
Impact in
- Infectious Diseases top 0.5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- Neurology top 0.5%
- Long-Term Effects of COVID-19
Papers in
-
- COVID-19 Clinical Research Studies 4
- Tuberculosis Research and Epidemiology 1
-
- Long-Term Effects of COVID-19 3
- Co-authors
- Guilin Chen (1 shared paper)Chi Zhang (1 shared paper)Jiawen Li (1 shared paper)Guiqiang Wang (1 shared paper)Ke Wang (1 shared paper)Hong Zhao (1 shared paper)Qi Zhu (1 shared paper)Zhao Wu (1 shared paper)
- Journals
- Biomedicine & Pharmacotherapy (1 paper)Korean Journal of Anesthesiology (1 paper)Clinical and Translational Medicine (1 paper)Teaching English as a Second or Foreign Language--TESL-EJ (1 paper)BMJ Open Diabetes Research & Care (1 paper)
- Partner nations
- China
In The Last Decade
Ming Wei
8 papers receiving 4.9k citations
Ming Wei's Hit Papers
Peers
Comparison fields: 5 of 138
- Infectious Diseases 3.1k
- Neurology 1.6k
- Critical Care and Intensive Care Medicine 194
- Modeling and Simulation 119
- Obstetrics and Gynecology 163
Countries citing papers authored by Ming Wei
This map shows the geographic impact of Ming Wei's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ming Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Wei more than expected).
Fields of papers citing papers by Ming Wei
This network shows the impact of papers produced by Ming Wei. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ming Wei. The network helps show where Ming Wei may publish in the future.
Co-authors
The 24 scholars most cited alongside Ming Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A Trial of Lopinavir–Ritonavir in Adults Hospitalized with Severe Covid-19 Hit paper breakdown → | 2020 | 4028 |
| 2 | 1-year outcomes in hospital survivors with COVID-19: a longitudinal cohort study Hit paper breakdown → | 2021 | 803 |
| 3 | 2020 | 80 | |
| 4 | 2020 | 53 | |
| 5 | The Interrelatedness of Affective Factors in EFL Learning: An Examination of Motivational Patterns in Relation to Anxiety in China. | 2007 | 47 |
| 6 | 2020 | 19 | |
| 7 | 2022 | 4 | |
| 8 | 2025 | 2 |
About Ming Wei
Ming Wei is a scholar working on Infectious Diseases, Neurology, Pharmacology, Language and Linguistics and Literature and Literary Theory, having authored 8 papers that have together received 5.0k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Long-Term Effects of COVID-19 (3 papers), Mycobacterium research and diagnosis (1 paper), Discourse Analysis in Language Studies (1 paper), Tuberculosis Research and Epidemiology (1 paper), EFL/ESL Teaching and Learning (1 paper), Hemodynamic Monitoring and Therapy (1 paper) and Medicinal Plant Pharmacodynamics Research (1 paper). The work is most often cited by research in Infectious Diseases (3.1k citations), Neurology (1.6k citations), Critical Care and Intensive Care Medicine (194 citations), Modeling and Simulation (119 citations) and Obstetrics and Gynecology (163 citations). Ming Wei has collaborated with scholars based in China. Frequent co-authors include Guilin Chen, Chi Zhang, Jiawen Li, Guiqiang Wang, Ke Wang, Hong Zhao, Qi Zhu, Zhao Wu, Xianxiang Chen and Dongni Hou. Their work appears in journals such as Biomedicine & Pharmacotherapy, Korean Journal of Anesthesiology, Clinical and Translational Medicine, Teaching English as a Second or Foreign Language--TESL-EJ and BMJ Open Diabetes Research & Care.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.